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ChatGPT and the Evolution of Large Language Models: A Deep Dive into 4 Transformative Case Studies

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Manage episode 389494769 series 2487640
内容由Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute提供。所有播客内容(包括剧集、图形和播客描述)均由 Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

To better understand the potential uses of large language models (LLMs) and their impact, a team of researchers at the Carnegie Mellon University Software Engineering Institute CERT Division conducted four in-depth case studies. The case studies span multiple domains and call for vastly different capabilities. In this podcast, Matthew Walsh, a senior data scientist in CERT, and Dominic Ross, Multi-Media Design Team lead, discuss their work in developing the four case studies as well as limitations and future uses of ChatGPT.

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Manage episode 389494769 series 2487640
内容由Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute提供。所有播客内容(包括剧集、图形和播客描述)均由 Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

To better understand the potential uses of large language models (LLMs) and their impact, a team of researchers at the Carnegie Mellon University Software Engineering Institute CERT Division conducted four in-depth case studies. The case studies span multiple domains and call for vastly different capabilities. In this podcast, Matthew Walsh, a senior data scientist in CERT, and Dominic Ross, Multi-Media Design Team lead, discuss their work in developing the four case studies as well as limitations and future uses of ChatGPT.

  continue reading

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